Evaluation of the feasibility of anomaly detection for dose management in PET examinations

These findings suggest that unsupervised anomaly detection is a promising approach to improve the accuracy of dose management in PET-CT examinations, enhancing patient safety and compliance with regulatory standards.

Authors

Institutions

Publication Details

Journal
Annals of Nuclear Medicine
Published
2025-06-16
DOI
https://doi.org/10.1007/s12149-025-02063-2
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the feasibility of anomaly detection for dose management in PET examinations

Kazumasa Kobashi, Yoshiyuki Watanabe, Yusuke Fukui, Yukihiro Nagatani et al.
Annals of Nuclear Medicine
Anomaly Detection Techniques and Applications
article

Evaluation of the feasibility of anomaly detection for dose management in PET examinations

Kazumasa Kobashi, Yoshiyuki Watanabe, Yusuke Fukui, Yukihiro Nagatani, Shogo Baba, Harumi Iguchi, Kohei Ohashi
article en

Abstract

These findings suggest that unsupervised anomaly detection is a promising approach to improve the accuracy of dose management in PET-CT examinations, enhancing patient safety and compliance with regulatory standards.

Annals of Nuclear MedicineVol. 39(9)
Seinan Gakuin University (JP), Shiga University of Medical Science Hospital (JP)
Life in Land
Openalex Percentile: Top 93%
Anomaly Detection Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.